Residual charts

daspi.plotlib.precast.ResidualsCharts(linear_model, stretch_figsize=False)

Bases: JointChart

Provides a set of charts for visualizing the residuals of a linear regression model.

The ResidualsCharts class takes a LinearModel instance and generates a set of four charts: - Probability plot of the residuals - Gaussian kernel density estimate of the residuals - Scatter plot of the predicted values vs. the observed values - Line plot of the predicted values vs. the observed values

The plot() method generates the charts, and the label() method adds titles and labels to the charts.

PARAMETER	DESCRIPTION
linear_model	The linear regression model whose residuals will be visualized. TYPE: LinearModel
stretch_figsize	If True, the height and width of the figure are stretched based on the number rows and columns in the axes grid. If a float is provided, the figure size is stretched by the given factor. If a tuple of two floats is provided, the figure size is stretched by the given factors for the x and y axis, respectively. by default False. TYPE: bool | float | Tuple[float, float] DEFAULT: False

Examples:

import daspi as dsp
import pandas as pd

df = dsp.load_dataset('painkillers-dissolution')
model = dsp.LinearModel(
    source=df,
    target='dissolution',
    features=['employee', 'stirrer', 'brand', 'catalyst', 'water'],
    covariates=['temperature', 'preparation'],
    order=2)
df_gof = pd.concat(model.recursive_elimination())
dsp.ResidualsCharts(model).plot().stripes().label(info=True)

lm = linear_model instance-attribute

The linear regression model whose residuals are visualized.

plot()

Generates a set of four charts for visualizing the residuals of a linear regression model: - Probability plot of the residuals - Gaussian kernel density estimate of the residuals - Scatter plot of the predicted values vs. the observed values - Line plot of the predicted values vs. the observed values

RETURNS	DESCRIPTION
Self	The ResidualsCharts instance, for method chaining. TYPE:

stripes()

Adds a line at position 0 for each subplot except for the probability plot. This line represents the fit of the model.

label(info=False, **kwds)

Adds titles and labels to the charts generated by the plot() method.

PARAMETER	DESCRIPTION
info	If True, the method will add an informative subtitle to the chart. If a string is provided, it will be used as the subtitle, by default False. TYPE: bool | str DEFAULT: False
**kwds	Additional keyword arguments to be passed to the label() method of the JointChart instance. DEFAULT: {}

RETURNS	DESCRIPTION
Self	The ResidualsCharts instance, for method chaining.